Metagenomic data-analysis reveals enrichment of lipopolysaccharide synthesis in the gut microbiota of atrial fibrillation patients / 中华心血管病杂志

Objective: To investigate the functional changes of key gut microbiota (GM) that produce lipopolysaccharide (LPS) in atrial fibrillation (AF) patients and to explore their potential role in the pathogenesis of AF. Methods: This was a prospective cross-sectional study. Patients with AF admitted to Beijing Chaoyang Hospital of Capital Medical University were enrolled from March 2016 to December 2018. Subjects with matched genetic backgrounds undergoing physical examination during the same period were selected as controls. Clinical baseline data and fecal samples were collected. Bacterial DNA was extracted and metagenomic sequencing was performed by using Illumina Novaseq. Based on metagenomic data, the relative abundances of KEGG Orthology (KO), enzymatic genes and species that harbored enzymatic genes were acquired. The key features were selected via the least absolute shrinkage and selection operator (LASSO) analysis. The role of GM-derived LPS biosynthetic feature in the development of AF was assessed by receiver operating characteristic (ROC) curve, partial least squares structural equation modeling (PLS-SEM) and logistic regression analysis. Results: Fifty nonvalvular AF patients (mean age: 66.0 (57.0, 71.3), 32 males(64%)) were enrolled as AF group. Fifty individuals (mean age 55.0 (50.5, 57.5), 41 males(82%)) were recruited as controls. Compared with the controls, AF patients showed a marked difference in the GM genes underlying LPS-biosynthesis, including 20 potential LPS-synthesis KO, 7 LPS-biosynthesis enzymatic genes and 89 species that were assigned as taxa harbored nine LPS-enzymatic genes. LASSO regression analysis showed that 5 KO, 3 enzymatic genes and 9 species could be selected to construct the KO, enzyme and species scoring system. Genes enriched in AF group included 2 KO (K02851 and K00972), 3 enzymatic genes (LpxH, LpxC and LpxK) and 7 species (Intestinibacter bartlettii、Ruminococcus sp. JC304、Coprococcus catus、uncultured Eubacterium sp.、Eubacterium sp. CAG:251、Anaerostipes hadrus、Dorea longicatena). ROC curve analysis revealed the predictive capacity of differential GM-derived LPS signatures to distinguish AF patients in terms of above KO, enzymatic and species scores: area under curve (AUC)=0.957, 95%CI: 0.918-0.995, AUC=0.940, 95%CI 0.889-0.991, AUC=0.972, 95%CI 0.948-0.997. PLS-SEM showed that changes in lipopolysaccharide-producing bacteria could be involved in the pathogenesis of AF. The key KO mediated 35.17% of the total effect of key bacteria on AF. After incorporating the clinical factors of AF, the KO score was positively associated with the significantly increased risk of AF (OR<0.001, 95%CI:<0.001-0.021, P<0.001). Conclusion: Microbes involved in LPS synthesis are enriched in the gut of AF patients, accompanied with up-regulated LPS synthesis function by encoding the LPS-enzymatic biosynthesis gene.

Efficacy comparison of primary percutaneous coronary intervention by drug-coated balloon angioplasty or drug-eluting stenting in acute myocardial infarction patients with de novo coronary lesions / 中华心血管病杂志

Objective: To compare the safety profile, angiographic and clinical outcomes between drug-coated balloon(DCB) only strategy versus drug eluting stent(DES) implantation in primary percutaneous coronary intervention(PCI) for acute myocardial infarction(AMI) patients. Methods: A total of 380 AMI patients who underwent primary PCI in Beijing Chaoyang Hospital from January 2016 to May 2019 were enrolled. They were allocated into DEB group(n=180) or DES group(n=200). The Primary endpoint was the major adverse cardiac events(MACE) in hospital and within 3 months after discharge, the composite event of cardiac death, non-fatal myocardial infarction(MI), target vessel revascularization(TVR) and in stent thrombosis. The secondary endpoints included: (1)TIMI blood flow grade and myocardial perfusion grade (TMP grade) of infarct-related vessels before and after PCI. (2)The degree of ST segment resolution(STR) between half hour and two hours after PCI, and STR was represented by percentage of summed ST-segment reduction between baseline and post-PCI. Using the most significant lead of ST segment elevation, calculating the rate of decline in the ST segment after treatment; or the most significant lead of the ST segment depression, to calculate the rate of recovery in the ST segment after treatment. STR<50% was defined as incomplete STR. (3)The occurrence of coronary artery dissection during operation. (4)The peak value of myocardial enzymes. (5)The incidence of bleeding in hospital and within 3 months after discharge. The inverse probability weighting method based on propensity score (IPTW) was used to compare the effects of the two treatments on MACE occurrence in the logistic regression model. Results: There was no significant difference in sex, age, risk factors of coronary heart disease, type and site of AMI, interventional therapy data(P>0.05) between the two groups. The ratio of bifurcation lesions in DCB group was significantly higher than that in DES group, and the diameter of the DCB was smaller while the length was longer than that of DES (all P<0.05). One death occurred in each group during hospitalization. Compared with the DES group, the incidence of MI ［2.8%(5/180) vs. 0.5% (1/200), P=0.10］ and TVR ［2.8%(5/180) vs. 0.5%(1/200), P=0.10］ in the DCB group during hospitalization showed an increasing trend, and were mostly associated with delayed coronary dissection. The incidence of MACE was similar between the two groups (3.3%(6/180) and 1.0%(2/200), P=0.15) during hospitalization. There was no MACE occurred in the two groups within 3 months after discharge. There was no significant difference between the two groups in TIMI grade, TMP grade, incomplete STR rate and peak value of myocardial enzyme (all P>0.05). The incidence of coronary artery dissection was significantly higher in DCB group than in DES group (8.3%(15/180) and 3.0%(6/200), P=0.02), but most of them were type B or A dissection and did not need special treatment. There was no significant difference in bleeding event between the two groups(P=0.91). Logistic regression analysis showed that there was no difference in the risk of MACE during hospitalization between DES and DCB groups for AMI patients receiving PCI (compared with DCB, OR=0.35, 95%CI 0.08-1.43, P=0.13). Conclusions: The initial safety and efficacy profiles of DCB are similar with those of DES for the AMI patients during PCI. The study highlights that the incidence of coronary dissection (type A or B) is higher post DCB treatment than post DES, but it does not affect blood flow. However, the incidence of in-hospital MI due to delayed coronary dissection trends to be higher post DCB. So we should pay close attention to the risk of delayed coronary dissection after DCB in AMI patients with de novo lesion.

A risk score model for predicting cardiac rupture after acute myocardial infarction / 中华医学杂志(英文版)

BACKGROUND@#Cardiac rupture (CR) is a major lethal complication of acute myocardial infarction (AMI). However, no valid risk score model was found to predict CR after AMI in previous researches. This study aimed to establish a simple model to assess risk of CR after AMI, which could be easily used in a clinical environment.@*METHODS@#This was a retrospective case-control study that included 53 consecutive patients with CR after AMI during a period from January 1, 2010 to December 31, 2017. The controls included 524 patients who were selected randomly from 7932 AMI patients without CR at a 1:10 ratio. Risk factors for CR were identified using univariate analysis and multivariate logistic regression. Risk score model was developed based on multiple regression coefficients. Performance of risk model was evaluated using receiver-operating characteristic (ROC) curves and internal validity was explored using bootstrap analysis.@*RESULTS@#Among all 7985 AMI patients, 53 (0.67%) had CR (free wall rupture, n = 39; ventricular septal rupture, n = 14). Hospital mortalities were 92.5% and 4.01% in patients with and without CR (P < 0.001). Independent variables associated with CR included: older age, female gender, higher heart rate at admission, body mass index (BMI) <25 kg/m, lower left ventricular ejection fraction (LVEF) and no primary percutaneous coronary intervention (pPCI) treatment. In ROC analysis, our CR risk assess model demonstrated a very good discriminate power (area under the curve [AUC] = 0.895, 95% confidence interval: 0.845-0.944, optimism-corrected AUC = 0.821, P < 0.001).@*CONCLUSION@#This study developed a novel risk score model to help predict CR after AMI, which had high accuracy and was very simple to use.

A risk score model for predicting cardiac rupture after acute myocardial infarction / 中华医学杂志(英文版)

Background:@#Cardiac rupture (CR) is a major lethal complication of acute myocardial infarction (AMI). However, no valid risk score model was found to predict CR after AMI in previous researches. This study aimed to establish a simple model to assess risk of CR after AMI, which could be easily used in a clinical environment.@*Methods:@#This was a retrospective case-control study that included 53 consecutive patients with CR after AMI during a period from January 1, 2010 to December 31, 2017. The controls included 524 patients who were selected randomly from 7932 AMI patients without CR at a 1:10 ratio. Risk factors for CR were identified using univariate analysis and multivariate logistic regression. Risk score model was developed based on multiple regression coefficients. Performance of risk model was evaluated using receiveroperating characteristic (ROC) curves and internal validity was explored using bootstrap analysis.@*Results:@#Among all 7985 AMI patients, 53 (0.67%) had CR (free wall rupture, n=39; ventricular septal rupture, n=14). Hospital mortalities were 92.5% and 4.01% in patients with and without CR (P < 0.001). Independent variables associated with CR included: older age, female gender, higher heart rate at admission, body mass index (BMI) <25 kg/m2, lower left ventricular ejection fraction (LVEF) and no primary percutaneous coronary intervention (pPCI) treatment. In ROC analysis, our CR risk assess model demonstrated a very good discriminate power (area under the curve [AUC]= 0.895, 95% confidence interval: 0.845–0.944, optimism-corrected AUC= 0.821, P < 0.001).@*Conclusion:@#This study developed a novel risk score model to help predict CR after AMI, which had high accuracy and was very simple to use.

Long-term prognosis of patients with acute myocardial infarction due to unprotected left main coronary artery disease: a single-centre experience over 14 years

<p><b>INTRODUCTION</b>Acute myocardial infarction (AMI) due to unprotected left main coronary artery (ULMCA) disease is clinically catastrophic although it has a low incidence. Studies on the long-term prognosis of these patients are rare.</p><p><b>METHODS</b>From January 1999 to September 2013, 55 patients whose infarct-related artery was the ULMCA were enrolled. Clinical, angiographic and interventional data was collected. Short-term and long-term clinical follow-up results as well as prognostic determinants during hospitalisation and follow-up were analysed.</p><p><b>RESULTS</b>Cardiogenic shock (CS) occurred in 30 (54.5%) patients. During hospitalisation, 22 (40.0%) patients died. Multivariate logistic regression analysis showed that CS (odds ratio [OR] 5.86; p = 0.03), collateral circulation of Grade 2 or 3 (OR 0.14; p = 0.02) and final flow of thrombolysis in myocardial infarction (TIMI) Grade 3 (OR 0.05; p = 0.03) correlated with death during hospitalisation. 33 patients survived to discharge; another seven patients died during the follow-up period of 44.6 ± 31.3 (median 60, range 0.67-117.00) months. The overall mortality rate was 52.7% (n = 29). Kaplan-Meier analysis showed that the total cumulative survival rate was 30.7%. Cox multivariate regression analysis showed that CS during hospitalisation was the only predictor of overall mortality (hazard ratio 4.07, 95% confidence interval 1.40-11.83; p = 0.01).</p><p><b>CONCLUSION</b>AMI caused by ULMCA lesions is complicated by high incidence of CS and mortality. CS, poor collateral blood flow and failure to restore final flow of TIMI Grade 3 correlated with death during hospitalisation. CS is the only predictor of long-term overall mortality.</p>